Information theoretical based feature selection approach for human skin detection

Detection of human skin in colored images has always been performed in known standard color spaces. In this paper a new color space coordinate is proposed based on popular existing color spaces but taking into account the most representative ones. Selection of the best color components is based on the use of the mutual information and maximum relevance minimum redundancy technique. A Gaussian model based classifier is used to test the performance of the proposed color space transformation.